241 AI developers voted in a category with a clear front-runner anchored in the developer ecosystem. Here is what the results reveal about the state of LLMOps.
The March 2026 IT Brand Pulse AI Brand Leader survey asked 241 members of the AI developer community to vote for Market Leader and Intelligence & Innovation Leader in LLMOps Platforms, one of 26 products in the AI Engineering stack. LangChain / LangSmith took the top position in both categories, receiving 34.9% of votes for Market Leader and 39.8% for Intelligence & Innovation Leader. LlamaIndex finished second in both pillars with 24.9%.
The results suggest that platforms anchored in developer ecosystems and extensible frameworks are currently winning buyer mindshare. Meanwhile, emerging platforms such as Humanloop, Vellum, and Weights & Biases Weave reflect growing demand for evaluation tooling, experiment tracking, and production observability. The IT Brand Pulse analyst team expects LLMOps platforms that combine orchestration, governance, and developer productivity into unified workflows to define the next phase of AI application infrastructure.
What Is LLM Ops?
IT Brand Pulse defines LLMOps as platforms that manage prompt engineering, evaluation, versioning, experiment tracking, observability, deployment, and lifecycle operations for LLM applications. LLMOps tools help operationalize large language models in production by providing workflows for evaluation, monitoring, deployment, and experimentation across the AI lifecycle. LLM Ops sits within the Operations sub-layer of the broader AI Engineering stack, alongside AI Observability Platforms, AI Evaluation Platforms, Experiment Tracking Platforms, and Model Registry Platforms.
Download the Brand Leader Report for LLM Ops.
